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Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks
Major depressive disorder is associated with abnormal anatomical and functional connectivity, yet alterations in whole cortical thickness topology remain unknown. Here, we examined cortical thickness in medication-free adult depression patients (n = 76) and matched healthy controls (n = 116). Inter-...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908416/ https://www.ncbi.nlm.nih.gov/pubmed/27302485 http://dx.doi.org/10.1038/srep27964 |
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author | Wang, Tao Wang, Kangcheng Qu, Hang Zhou, Jingjing Li, Qi Deng, Zhou Du, Xue Lv, Fajin Ren, Gaoping Guo, Jing Qiu, Jiang Xie, Peng |
author_facet | Wang, Tao Wang, Kangcheng Qu, Hang Zhou, Jingjing Li, Qi Deng, Zhou Du, Xue Lv, Fajin Ren, Gaoping Guo, Jing Qiu, Jiang Xie, Peng |
author_sort | Wang, Tao |
collection | PubMed |
description | Major depressive disorder is associated with abnormal anatomical and functional connectivity, yet alterations in whole cortical thickness topology remain unknown. Here, we examined cortical thickness in medication-free adult depression patients (n = 76) and matched healthy controls (n = 116). Inter-regional correlation was performed to construct brain networks. By applying graph theory analysis, global (i.e., small-worldness) and regional (centrality) topology was compared between major depressive disorder patients and healthy controls. We found that in depression patients, topological organization of the cortical thickness network shifted towards randomness, and lower small-worldness was driven by a decreased clustering coefficient. Consistently, altered nodal centrality was identified in the isthmus of the cingulate cortex, insula, supra-marginal gyrus, middle temporal gyrus and inferior parietal gyrus, all of which are components within the default mode, salience and central executive networks. Disrupted nodes anchored in the default mode and executive networks were associated with depression severity. The brain systems involved sustain core symptoms in depression and implicate a structural basis for depression. Our results highlight the possibility that developmental and genetic factors are crucial to understand the neuropathology of depression. |
format | Online Article Text |
id | pubmed-4908416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49084162016-06-15 Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks Wang, Tao Wang, Kangcheng Qu, Hang Zhou, Jingjing Li, Qi Deng, Zhou Du, Xue Lv, Fajin Ren, Gaoping Guo, Jing Qiu, Jiang Xie, Peng Sci Rep Article Major depressive disorder is associated with abnormal anatomical and functional connectivity, yet alterations in whole cortical thickness topology remain unknown. Here, we examined cortical thickness in medication-free adult depression patients (n = 76) and matched healthy controls (n = 116). Inter-regional correlation was performed to construct brain networks. By applying graph theory analysis, global (i.e., small-worldness) and regional (centrality) topology was compared between major depressive disorder patients and healthy controls. We found that in depression patients, topological organization of the cortical thickness network shifted towards randomness, and lower small-worldness was driven by a decreased clustering coefficient. Consistently, altered nodal centrality was identified in the isthmus of the cingulate cortex, insula, supra-marginal gyrus, middle temporal gyrus and inferior parietal gyrus, all of which are components within the default mode, salience and central executive networks. Disrupted nodes anchored in the default mode and executive networks were associated with depression severity. The brain systems involved sustain core symptoms in depression and implicate a structural basis for depression. Our results highlight the possibility that developmental and genetic factors are crucial to understand the neuropathology of depression. Nature Publishing Group 2016-06-15 /pmc/articles/PMC4908416/ /pubmed/27302485 http://dx.doi.org/10.1038/srep27964 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Tao Wang, Kangcheng Qu, Hang Zhou, Jingjing Li, Qi Deng, Zhou Du, Xue Lv, Fajin Ren, Gaoping Guo, Jing Qiu, Jiang Xie, Peng Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
title | Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
title_full | Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
title_fullStr | Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
title_full_unstemmed | Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
title_short | Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
title_sort | disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908416/ https://www.ncbi.nlm.nih.gov/pubmed/27302485 http://dx.doi.org/10.1038/srep27964 |
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